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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 7487
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    Explanations

    statistics related to sports accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    statistical metrics related to player performance in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.96
     ItemLevel
    -0.79
    dit
    -0.75
    IRC
    -0.74
    elly
    -0.74
    irit
    -0.73
    ":[
    -0.72
    rock
    -0.72
    SIM
    -0.70
    rift
    -0.70
    POSITIVE LOGITS
     interceptions
    1.23
     assists
    1.20
     steals
    1.14
     sacks
    1.11
     rebounds
    1.06
     tackles
    1.04
     receptions
    1.04
     scoring
    1.03
     strikeouts
    1.02
     wins
    1.01
    Activations Density 0.063%

    No Known Activations